Sparse Neural Networks
Topic
In this project, you will train and evaluate several human pose estimation networks with sparsity constraints and compare their runtime performance on different hardware.
Tasks
- Learn about and implement network sparsification methods.
- Train multiple human pose estimation networks.
- Deploy them to ONNX and evaluate runtime performance in different environments (desktop, web, and mobile).
Expected Skills
- PyTorch + good programming skills (required)
- OpenMMLab libraries, e.g.,
mmengine,mmpose,mmrazor,mmdeploy, etc. (highly preferred) - Sparsity in neural networks (preferred)
- Familiar with ONNX and mobile deployment (optional)